25 April 2021 : Clinical Research
Predicting the Risk of Acute Kidney Injury in Patients After Percutaneous Coronary Intervention (PCI) or Cardiopulmonary Bypass (CPB) Surgery: Development and Assessment of a Nomogram Prediction Model
Yi Du1ABCDEFG, Xiu-Zhe Wang1ABFG, Wei-Dong Wu1ABCDE*, Hai-Peng Shi1ABC, Xiao-Jing Yang1CD, Wen-Jing Wu1BC, Shu-Xian Chen1EFDOI: 10.12659/MSM.929791
Med Sci Monit 2021; 27:e929791
Figure 2 Building a personalized predictive model. (A) A nomogram model predicting the risk of AKI. Note: 11 factors including operation methods, age, congestive heart failure, BMI – heart rate; WBC count – platelet count, hemoglobin, uric acid and PI (kidney cortex as well as kidney medulla) were included in the model. * P<0.05, ** P<0.01, *** P<0.005. (B) A forest chart showing the prediction factors of AKI after PCI or CPB surgery. AKI – acute kidney injury; BMI – body mass index; CPB – cardiopulmonary bypass; PCI – percutaneous coronary intervention; PI – peak intensity; WBC – white blood cell.